* indicates equal contribution.
Anushri Dixit, Mohamadreza Ahmadi, and Joel W. Burdick. "Risk-Averse Receding Horizon Motion Planning." Submitted to Artificial Intelligence Journal, Special Issue on Risk-aware Autonomous Systems: Theory and Practice (2022).
Prithvi Akella, Anushri Dixit, Mohamadreza Ahmadi, Joel W. Burdick, and Aaron Ames. "Sample-Based Bounds for Coherent Risk Measures: Applications to Policy Synthesis and Verification." Submitted to Artificial Intelligence Journal, Special Issue on Risk-aware Autonomous Systems: Theory and Practice, 2022.
Skylar X. Wei*, Anushri Dixit*, Shashank Tomar, and Joel W. Burdick. "Moving Obstacle Avoidance: a Data-Driven Risk-Aware Approach." In IEEE Control System Letters, 2022 (Outstanding Student Paper Award at CDC 2022).
Anushri Dixit, Mohamadreza Ahmadi, and Joel W. Burdick. "Distributionally Robust Model Predictive Control with Total Variation Distance." In IEEE Control System Letters, 2022
Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim et al. "Nebula: Quest for robotic autonomy in challenging environments; Team CoSTAR at the DARPA subterranean challenge." In Field Robotics, 2021.
Anushri Dixit*, Lars Lindemann*, Skylar Wei, Matthew Cleaveland, George J. Pappas, and Joel W. Burdick. "Adaptive Conformal Prediction for Motion Planning among Dynamic Agents." Submitted to Learning for Dynamics and Control (L4DC) Conference, 2022.
Sharmita Dey, David Fan, Robin Schmid, Anushri Dixit, Kyohei Otsu, Thomas Touma, Arndt F. Schilling, and Ali-akbar Agha-mohammadi. "PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains." Accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
Anushri Dixit, Mohamadreza Ahmadi, and Joel W. Burdick. "Risk-sensitive motion planning using Entropic Value-at-Risk." In 2021 IEEE European Control Conference (ECC), pp. 1726-1732.
Mohamadreza Ahmadi, Anushri Dixit, Joel W. Burdick, and Aaron D. Ames. "Risk-Averse Stochastic Shortest Path Planning." In 2021 IEEE Conference on Decision and Control (CDC)
David D. Fan, Kyohei Otsu, Yuki Kubo, Anushri Dixit, Joel Burdick, and Ali-Akbar Agha-Mohammadi. "STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation." In Robotics: Science and Systems, pp. 1-21. RSS Foundation, 2021.
Lecture Notes Chapters